Surface Roughness Prediction in Turning of Free Machining Steel 1215 by Artificial Neural Network

被引：1

作者：

Cai, X. J. ^{[1
]}

Liu, Z. Q. ^{[1
]}

Wang, Q. C. ^{[1
]}

Han, S. ^{[1
]}

An, Q. L. ^{[1
]}

Chen, M. ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China

来源：

HIGH SPEED MACHINING | 2011年 / 188卷

关键词：

Surface roughness; Artificial neural network (ANN); Free machining steel;

D O I：

10.4028/www.scientific.net/AMR.188.535

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Surface roughness is a significant aspect of the surface integrity concept. It is efficient to predict the surface roughness in advance by a prediction model. In this study, artificial neural network is used to model the surface roughness in turning of free machining steel 1215. The inputs considered in the prediction ANN model were cutting speed, feed rate and depth of cut, and the output was R-a. Several feed-forward neural networks with different architectures were compared in terms of prediction accuracy, and then the best prediction model, a 3-4-1-1 ANN was capable of predicting R-a with a mean squared error 5.46%, was presented.

引用

页码：535 / 541

页数：7

共 9 条

[1] Predicting surface roughness in machining: a review
Benardos, PG
Vosniakos, GC
[J]. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2003, 43 (08) : 833 - 844
[2] Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
Benardos, PG
Vosniakos, GC
[J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2002, 18 (5-6) : 343 - 354
[3] Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models
Davim, J. Paulo
Gaitonde, V. N.
Karnik, S. R.
[J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2008, 205 (1-3) : 16 - 23
[4] DEMUTH H, 1998, NEURAL NETWORK TOOLB, pCH5
[5] Comparison of response surface model with neural network in determining the surface quality of moulded parts
Erzurumlu, Tuncay
Oktem, Hasan
[J]. MATERIALS & DESIGN, 2007, 28 (02) : 459 - 465
[6] Prediction and control of surface roughness in CNC lathe using artificial neural network
Karayel, Durmus
[J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (07) : 3125 - 3137
[7] A review of optimization techniques in metal cutting processes
Mukherjee, Indrajit
Ray, Pradip Kumar
[J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2006, 50 (1-2) : 15 - 34
[8] The role of stepover ratio in prediction of surface roughness in flat end milling
Topal, Eyuep Sabri
[J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2009, 51 (11-12) : 782 - 789
[9] Prediction of surface roughness in the end milling machining using Artificial Neural Network
Zain, Azlan Mohd
Haron, Habibollah
Sharif, Safian
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (02) : 1755 - 1768

← 1 →